Detection of magnitude and position of rotor aerodynamic imbalance of wind turbines using Convolutional Neural Network

Author:

Xing Zuoxia,Chen MingyangORCID,Cui Jia,Chen Zhe,Xu Jian

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference32 articles.

1. Wind turbine power modelling and optimization using artificial neural network with wind field experimental data;Sun;Appl. Energy,2020

2. Operational-dependent wind turbine wake impact on surface momentum flux;Abraham;Renew. Sustain. Energy Rev.,2021

3. Wind turbine fault diagnosis and fault-tolerant torque load control against actuator faults;Badihi;IEEE Trans. Control Syst. Technol.,2014

4. Simultaneous estimation of mass and aerodynamic rotor imbalances for wind turbines;Niebsch;J. Math. Ind.,2014

5. Detection of mass imbalance in the rotor of wind turbines using support vector machine;Hübner;Renew. Energy,2021

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